Data Science Major
Data science is a rapidly growing field. This major offers an exciting blend of statistical inquiry, analysis, and interpretation, combined with computational processing and algorithmic techniques to leverage domain-specific data into accountable and well-informed decision-making. In addition to the departmental requirements below, a student must complete the University Core Curriculum, the College of Liberal Arts and Sciences language requirement, and other general requirements.
Mathematics Courses:
MA 106 Calculus & Analytic Geometry I
MA 107 Calculus & Analytic Geometry 2
MA 162 Elementary Statistics
MA 310 Linear Algebra
MA 360 Probability Theory I
MA 361 Statistical Theory
MA 362 Linear Regression & Time Series
MA 369 Multivariate Statistical Methods
MA 468 Predictive Analytics & Data Mining
Computer Science Courses:
CS 151 Foundations of Computing I
CS 248 Object-Oriented Programming & Data Structures
CS 252 Foundations of Computing II
CS 333 Database Systems
CS 341 Advanced Data Structures
CS 351 Algorithms
CS 445 Artificial Intelligence
CS 485 Computer Ethics
| Fall | Spring | |
| First Year | MA 106 MA 162 CS 142 CS 151 FYS |
MA 107 CS 248 CS 252 FYS Core Class |
| Second Year | MA 310 MA 360 CS 333 (fall or spring) Foreign Language GHS |
MA 361 Foreign Language GHS |
| Third Year Odd fall/even spring |
MA 362 MA 369 CS 341 (fall or spring) |
MA 468 CS 485 (fall or spring) |
| Fourth Year Even fall/odd spring |
CS 351 | CS 445 |
| Third Year Even fall/odd spring |
MA 362 CS 341 (fall or spring) |
CS 485 (fall or spring) |
| Fourth Year Odd fall/even spring |
MA 369 CS 351 |
MA 468 CS 445 |
Yes, Data Science is a STEM degree. Data Science requires the integration of mathematics, engineering, and technology. Butler’s interdisciplinary Data Science Major applies scientific methods, algorithms, and processes to obtain knowledge and understanding of transforming data into actionable insights.
Graduates from Butler with a Data Science degree are proficient with the mathematical, statistical, and computer programing tools necessary to broaden their disciplinary education or pursue data-driven careers. Some of these jobs include but are not limited to:
- Data Analyst
- Software Engineer
- Business Intelligence Developer
- Database Administrator
- Statistician
- Data Architect